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Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications.

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Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram., , , , , , and . Comp. Math. Methods in Medicine, (2015)Ridge-Based Automatic Vascular Centerline Tracking in X-ray Angiographic Images., , , and . IScIDE, volume 7751 of Lecture Notes in Computer Science, page 793-800. Springer, (2012)Vascular segmentation of head phase-contrast magnetic resonance angiograms using grayscale and shape features., , , , , and . Computer Methods and Programs in Biomedicine, (2017)Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images., , , , and . CoRR, (2019)Cerebrovascular segmentation of TOF-MRA based on seed point detection and multiple-feature fusion., , , , and . Comp. Med. Imag. and Graph., (2018)Shape context and projection geometry constrained vasculature matching for 3D reconstruction of coronary artery., , , , , and . Neurocomputing, (2016)The synergetic effect of pelvic rotation and X-ray offset on radiographic angles of the acetabular cup., , , , , , and . Med. Biol. Engineering and Computing, 57 (11): 2359-2371 (2019)Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking., , , , and . Comp. Math. Methods in Medicine, (2013)Mixed Reality Medical First Aid Training System Based on Body Identification., , , and . ICIG (3), volume 11903 of Lecture Notes in Computer Science, page 395-406. Springer, (2019)Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications., , , , , , , and . CoRR, (2019)